code: def test_negative_indexing_seed_point():
      image = np.array(
          [
              [0, 0, 0, 0, 0, 0, 0],
              [0, 1, 1, 0, 2, 2, 0],
              [0, 1, 1, 0, 2, 2, 0],
              [1, 0, 0, 0, 0, 0, 3],
              [0, 1, 1, 1, 3, 3, 4],
          ],
          dtype=np.float32,
      )
  
      expected = np.array(
          [
              [5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0],
              [5.0, 1.0, 1.0, 5.0, 2.0, 2.0, 5.0],
              [5.0, 1.0, 1.0, 5.0, 2.0, 2.0, 5.0],
              [1.0, 5.0, 5.0, 5.0, 5.0, 5.0, 3.0],
              [5.0, 1.0, 1.0, 1.0, 3.0, 3.0, 4.0],
          ],
          dtype=np.float32,
      )
  
      image = flood_fill(image, (0, -1), 5)
  
      np.testing.assert_allclose(image, expected)
  
file_path: scikit-image/skimage/morphology/tests/test_flood_fill.py
imports: import numpy
  import pytest
  from skimage.morphology import flood, flood_fill
label_desc: Use image node_id 14 for calling a global function with example usage: test_negative_indexing_seed_point() without return types